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The Prediction of Nasopharyngeal Carcinoma Mortality Based on Soil Element Levels in China

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Abstract

The relationship between the mortality of nasopharyngeal carcinoma (NPC) and soil trace elements of 29 regions of China was investigated. A total of 29 elements (i.e., Mn, Na, K, Mg, Ca, Sr, Ba, Hg, Pb, Se, In, Yb, Lu, Th, U, Sn, Ti, Zr, Hf, Bi, Ta, Te, Br, I, As, Cr, Cu, Fe, and Zn) were considered. A hybrid strategy called genetic algorithm-partial least squares was used to screen out important elements. As a result, only six elements, i.e., Mn, Ti, Mg, K, Na, and I, were picked out, based on which, a PLS model containing two latent variables exhibited the best performance. According to whether the mortality is larger than 2/100,000 (2 × 10−5), all the 29 regions were divided into the low-mortality group with 23 regions and the high-mortality group with six regions. Based on the optimal PLS model, all high-mortality regions were successfully classified while only two low-mortality regions were misclassified, i.e., an accuracy of 93%, implying that the selected six elements are effective and successful for predicting the NPC mortality of a region.

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Acknowledgments

This work was supported by Sichuan Province Science Foundation for Youths (09ZQ026-066) and Scientific Research Startup Fund for Doctor, Yibin University (2008B06).

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Authors and Affiliations

  1. Department of Chemistry and Chemical Engineering, Yibin University, Yibin, 644007, People’s Republic of China

    Chao Tan & Tong Wu

  2. Computational Physics Key Laboratory of Sichuan Province, Yibin University, Yibin, 644007, People’s Republic of China

    Chao Tan

  3. Hospital, Yibin University, Yibin, 644007, People’s Republic of China

    Hui Chen

  4. Clinical College, North Sichuan Medical College, Nanchong, 637000, People’s Republic of China

    Hui Chen & Chengyun Xia

Authors
  1. Chao Tan
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  2. Hui Chen
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  3. Tong Wu
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  4. Chengyun Xia
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Correspondence to Chao Tan.

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Tan, C., Chen, H., Wu, T. et al. The Prediction of Nasopharyngeal Carcinoma Mortality Based on Soil Element Levels in China. Biol Trace Elem Res 138, 139–147 (2010). https://doi.org/10.1007/s12011-010-8632-2

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  • DOI: https://doi.org/10.1007/s12011-010-8632-2

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